Eden AI MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Eden AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="eden_ai_agent",
instruction=(
"You help users interact with Eden AI "
"using 10 available tools."
),
tools=[mcp_tools],
)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Eden AI MCP Server
Integrate Eden AI, the unified AI API platform, directly into your AI workflow. Manage your automation workflows and pipelines, track available AI providers (OpenAI, Google, AWS, etc.) across various features, monitor real-time API usage and costs, and oversee your LLM models using natural language.
Google ADK natively supports Eden AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
What you can do
- Workflow Oversight — List and retrieve detailed information and status for all your configured AI automation workflows.
- Provider Intelligence — Access the provider registry to monitor available AI capabilities, pricing, and service levels for specific features.
- Usage Monitoring — Track real-time API consumption statistics, credit balance, and organizational spending across all providers.
- Model Management — List all specific large language models (LLMs) and AI features supported by the Eden AI platform.
The Eden AI MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Eden AI to Google ADK via MCP
Follow these steps to integrate the Eden AI MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from Eden AI via MCP
Why Use Google ADK with the Eden AI MCP Server
Google ADK provides unique advantages when paired with Eden AI through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Eden AI
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine Eden AI tools with BigQuery, Vertex AI, and Cloud Functions
Eden AI + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Eden AI MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Eden AI and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Eden AI tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Eden AI regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Eden AI
Eden AI MCP Tools for Google ADK (10)
These 10 tools become available when you connect Eden AI to Google ADK via MCP:
get_ai_feature_pricing
Identify the pricing for a specific AI feature across different providers
get_api_usage_statistics
Retrieve technical statistics on your API usage and costs
get_eden_ai_metadata
Retrieve metadata and credit balance for your Eden AI account
get_workflow_configuration
Get detailed settings and steps for a specific AI workflow
list_ai_providers
List all AI providers (OpenAI, Google, AWS, etc.) available for a specific feature
list_ai_workflows
List all AI automation workflows configured in your Eden AI account
list_all_llm_models
List all specific large language models available through the unified API
list_available_ai_features
List all AI features and subfeatures supported by the Eden AI platform
list_latest_ai_automations
Identify the most recently updated AI workflows
quick_ai_provider_audit
Retrieve a high-level summary of available providers for text analysis
Example Prompts for Eden AI in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Eden AI immediately.
"List all active AI workflows."
"Show me the pricing for 'sentiment_analysis' across providers."
"What is my current Eden AI credit balance?"
Troubleshooting Eden AI MCP Server with Google ADK
Common issues when connecting Eden AI to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkEden AI + Google ADK FAQ
Common questions about integrating Eden AI MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Eden AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Eden AI to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.